drop a column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)drop a column pandas
df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)python code to drop columns from dataframe
# Let df be a dataframe
# Let new_df be a dataframe after dropping a column
new_df = df.drop(labels='column_name', axis=1)
# Or if you don't want to change the name of the dataframe
df = df.drop(labels='column_name', axis=1)
# Or to remove several columns
df = df.drop(['list_of_column_names'], axis=1)
# axis=0 for 'rows' and axis=1 for columnspandas drop column by name
df.drop(columns=['Column_Name1','Column_Name2'], axis=1, inplace=True)pandas dataframe delete column
del df['column_name']drop dataframe columns
# Drop The Original Categorical Columns which had Whitespace Issues in their values
df.drop(cat_columns, axis = 1, inplace = True)
dict_1 = {'workclass_stripped':'workclass', 'education_stripped':'education',
'marital-status_stripped':'marital_status', 'occupation_stripped':'occupation',
'relationship_stripped':'relationship', 'race_stripped':'race',
'sex_stripped':'sex', 'native-country_stripped':'native-country',
'Income_stripped':'Income'}
df.rename(columns = dict_1, inplace = True)
dfCopyright © 2021 Codeinu
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